Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 91–100 of 782 papers

Title	Date	Tasks	Status	Hype
Finding Universal Grammatical Relations in Multilingual BERT	May 9, 2020	Cross-Lingual TransferLanguage Modeling	CodeCode Available	1
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators	Mar 6, 2024	Code CompletionCode Generation	CodeCode Available	1
Modelling Latent Translations for Cross-Lingual Transfer	Jul 23, 2021	Cross-Lingual TransferFew-Shot Learning	CodeCode Available	1
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models	May 23, 2023	Cross-Lingual TransferOpen-Ended Question Answering	CodeCode Available	1
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction	Sep 25, 2022	Cross-Lingual TransferTransfer Learning	CodeCode Available	1
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction	Mar 15, 2022	Cross-Lingual TransferEvent Argument Extraction	CodeCode Available	1
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging	Feb 29, 2024	Cross-Lingual Transfer	CodeCode Available	1
Choosing Transfer Languages for Cross-Lingual Learning	May 29, 2019	Cross-Lingual Transfer	CodeCode Available	1
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models	Mar 16, 2021	Cross-Lingual TransferImage Retrieval	CodeCode Available	1
Unsupervised Cross-lingual Representation Learning at Scale	Nov 5, 2019	Cross-Lingual TransferLanguage Modeling	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PaLM 2 (few-shot)	Accuracy	94.4	—	Unverified
2	mT0-13B	Accuracy	84.45	—	Unverified
3	RoBERTa Large (translate test)	Accuracy	76.05	—	Unverified
4	BLOOMZ	Accuracy	75.5	—	Unverified
5	MAD-X Base	Accuracy	60.94	—	Unverified
6	mGPT	Accuracy	55.5	—	Unverified